12 research outputs found
Baseline Pain and Disability in the Investigational Vertebroplasty Efficacy and Safety Trial
Vascular Remodeling in Health and Disease
The term vascular remodeling is commonly used to define the structural changes in blood vessel geometry that occur in response to long-term physiologic alterations in blood flow or in response to vessel wall injury brought about by trauma or underlying cardiovascular diseases.1, 2, 3, 4 The process of remodeling, which begins as an adaptive response to long-term hemodynamic alterations such as elevated shear stress or increased intravascular pressure, may eventually become maladaptive, leading to impaired vascular function. The vascular endothelium, owing to its location lining the lumen of blood vessels, plays a pivotal role in regulation of all aspects of vascular function and homeostasis.5 Thus, not surprisingly, endothelial dysfunction has been recognized as the harbinger of all major cardiovascular diseases such as hypertension, atherosclerosis, and diabetes.6, 7, 8 The endothelium elaborates a variety of substances that influence vascular tone and protect the vessel wall against inflammatory cell adhesion, thrombus formation, and vascular cell proliferation.8, 9, 10 Among the primary biologic mediators emanating from the endothelium is nitric oxide (NO) and the arachidonic acid metabolite prostacyclin [prostaglandin I2 (PGI2)], which exert powerful vasodilatory, antiadhesive, and antiproliferative effects in the vessel wall
Joint Modelling for Longitudinal and Time-to-Event Data: Application to Liver Transplantation Data
Associations between diet and cardiometabolic risk among Yup'ik Alaska Native people using food frequency questionnaire dietary patterns
On composite marginal likelihoods
Clustered data, Computational efficiency, Composite likelihood, Genetics, Longitudinal data, Missing data, Pairwise likelihood, Pseudolikelihood, Spatial data, Statistical efficiency, Survival analysis, Time series,
Sensitivity of MRQAP Tests to Collinearity and Autocorrelation Conditions
MRQAP, Mantel tests, permutation tests, social networks, network autocorrelation, collinearity, dyadic data,
Identifying Variables Responsible for Data not Missing at Random
parameter bias, effect size, not missing at random, mean and covariance structural models,